Serveur d'exploration Cyberinfrastructure

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Embracing statistical challenges in the information technology age

Identifieur interne : 000019 ( PascalFrancis/Curation ); précédent : 000018; suivant : 000020

Embracing statistical challenges in the information technology age

Auteurs : BIN YU [États-Unis]

Source :

RBID : Pascal:07-0496877

Descripteurs français

English descriptors

Abstract

This article examines the role of statistics in the age of information technology (IT). It begins by examining the current state of IT and of the cyberinfrastructure initiative aimed at integrating the technologies into science, engineering, and education to convert massive amounts of data into useful information. Selected applications from science and text processing are introduced to provide concrete examples of massive data sets and the statistical challenges that they pose. The thriving field of machine learning is reviewed as an example of current achievements driven by computations and IT. Ongoing challenges that we face in the IT revolution are also highlighted. The paper concludes that for the healthy future of our field, computer technologies have to be integrated into statistics, and statistical thinking in turn must be integrated into computer technologies.
pA  
A01 01  1    @0 0040-1706
A02 01      @0 TCMTA2
A03   1    @0 Technometrics
A05       @2 49
A06       @2 3
A08 01  1  ENG  @1 Embracing statistical challenges in the information technology age
A09 01  1  ENG  @1 Statistics in information technology
A11 01  1    @1 BIN YU
A12 01  1    @1 NAIR (Vijay) @9 ed.
A14 01      @1 Department of Statistics University of California at Berkeley @2 Berkeley, CA 94720 @3 USA @Z 1 aut.
A15 01      @1 Department of Statistics, University of Michigan @2 Ann Arbor, MI 48109 @3 USA @Z 1 aut.
A20       @1 237-248
A21       @1 2007
A23 01      @0 ENG
A43 01      @1 INIST @2 9949 @5 354000146689260010
A44       @0 0000 @1 © 2007 INIST-CNRS. All rights reserved.
A45       @0 1 p.1/2
A47 01  1    @0 07-0496877
A60       @1 P
A61       @0 A
A64 01  1    @0 Technometrics
A66 01      @0 USA
C01 01    ENG  @0 This article examines the role of statistics in the age of information technology (IT). It begins by examining the current state of IT and of the cyberinfrastructure initiative aimed at integrating the technologies into science, engineering, and education to convert massive amounts of data into useful information. Selected applications from science and text processing are introduced to provide concrete examples of massive data sets and the statistical challenges that they pose. The thriving field of machine learning is reviewed as an example of current achievements driven by computations and IT. Ongoing challenges that we face in the IT revolution are also highlighted. The paper concludes that for the healthy future of our field, computer technologies have to be integrated into statistics, and statistical thinking in turn must be integrated into computer technologies.
C02 01  X    @0 001D02B07D
C02 02  X    @0 001D02C
C02 03  X    @0 001D02B07B
C02 04  X    @0 001A02H02
C03 01  X  FRE  @0 Technologie information @5 06
C03 01  X  ENG  @0 Information technology @5 06
C03 01  X  SPA  @0 Tecnología información @5 06
C03 02  X  FRE  @0 Education @5 07
C03 02  X  ENG  @0 Education @5 07
C03 02  X  SPA  @0 Educación @5 07
C03 03  X  FRE  @0 Enseignement @5 08
C03 03  X  ENG  @0 Teaching @5 08
C03 03  X  SPA  @0 Enseñanza @5 08
C03 04  3  FRE  @0 Base donnée très grande @5 09
C03 04  3  ENG  @0 Very large databases @5 09
C03 05  X  FRE  @0 Information utile @5 10
C03 05  X  ENG  @0 Useful information @5 10
C03 05  X  SPA  @0 Información útil @5 10
C03 06  X  FRE  @0 Texte @5 11
C03 06  X  ENG  @0 Text @5 11
C03 06  X  SPA  @0 Texto @5 11
C03 07  X  FRE  @0 Donnée statistique @5 12
C03 07  X  ENG  @0 Statistical data @5 12
C03 07  X  SPA  @0 Dato estadístico @5 12
C03 08  X  FRE  @0 Intelligence artificielle @5 13
C03 08  X  ENG  @0 Artificial intelligence @5 13
C03 08  X  SPA  @0 Inteligencia artificial @5 13
C03 09  X  FRE  @0 Age @5 18
C03 09  X  ENG  @0 Age @5 18
C03 09  X  SPA  @0 Edad @5 18
C03 10  X  FRE  @0 Analyse statistique @5 23
C03 10  X  ENG  @0 Statistical analysis @5 23
C03 10  X  SPA  @0 Análisis estadístico @5 23
C03 11  X  FRE  @0 Approche probabiliste @5 24
C03 11  X  ENG  @0 Probabilistic approach @5 24
C03 11  X  SPA  @0 Enfoque probabilista @5 24
N21       @1 323
N44 01      @1 OTO
N82       @1 OTO

Links toward previous steps (curation, corpus...)


Links to Exploration step

Pascal:07-0496877

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en" level="a">Embracing statistical challenges in the information technology age</title>
<author>
<name sortKey="Bin Yu" sort="Bin Yu" uniqKey="Bin Yu" last="Bin Yu">BIN YU</name>
<affiliation wicri:level="1">
<inist:fA14 i1="01">
<s1>Department of Statistics University of California at Berkeley</s1>
<s2>Berkeley, CA 94720</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">INIST</idno>
<idno type="inist">07-0496877</idno>
<date when="2007">2007</date>
<idno type="stanalyst">PASCAL 07-0496877 INIST</idno>
<idno type="RBID">Pascal:07-0496877</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000238</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000019</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a">Embracing statistical challenges in the information technology age</title>
<author>
<name sortKey="Bin Yu" sort="Bin Yu" uniqKey="Bin Yu" last="Bin Yu">BIN YU</name>
<affiliation wicri:level="1">
<inist:fA14 i1="01">
<s1>Department of Statistics University of California at Berkeley</s1>
<s2>Berkeley, CA 94720</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
</affiliation>
</author>
</analytic>
<series>
<title level="j" type="main">Technometrics</title>
<title level="j" type="abbreviated">Technometrics</title>
<idno type="ISSN">0040-1706</idno>
<imprint>
<date when="2007">2007</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt>
<title level="j" type="main">Technometrics</title>
<title level="j" type="abbreviated">Technometrics</title>
<idno type="ISSN">0040-1706</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Age</term>
<term>Artificial intelligence</term>
<term>Education</term>
<term>Information technology</term>
<term>Probabilistic approach</term>
<term>Statistical analysis</term>
<term>Statistical data</term>
<term>Teaching</term>
<term>Text</term>
<term>Useful information</term>
<term>Very large databases</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Technologie information</term>
<term>Education</term>
<term>Enseignement</term>
<term>Base donnée très grande</term>
<term>Information utile</term>
<term>Texte</term>
<term>Donnée statistique</term>
<term>Intelligence artificielle</term>
<term>Age</term>
<term>Analyse statistique</term>
<term>Approche probabiliste</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Enseignement</term>
<term>Intelligence artificielle</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">This article examines the role of statistics in the age of information technology (IT). It begins by examining the current state of IT and of the cyberinfrastructure initiative aimed at integrating the technologies into science, engineering, and education to convert massive amounts of data into useful information. Selected applications from science and text processing are introduced to provide concrete examples of massive data sets and the statistical challenges that they pose. The thriving field of machine learning is reviewed as an example of current achievements driven by computations and IT. Ongoing challenges that we face in the IT revolution are also highlighted. The paper concludes that for the healthy future of our field, computer technologies have to be integrated into statistics, and statistical thinking in turn must be integrated into computer technologies.</div>
</front>
</TEI>
<inist>
<standard h6="B">
<pA>
<fA01 i1="01" i2="1">
<s0>0040-1706</s0>
</fA01>
<fA02 i1="01">
<s0>TCMTA2</s0>
</fA02>
<fA03 i2="1">
<s0>Technometrics</s0>
</fA03>
<fA05>
<s2>49</s2>
</fA05>
<fA06>
<s2>3</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG">
<s1>Embracing statistical challenges in the information technology age</s1>
</fA08>
<fA09 i1="01" i2="1" l="ENG">
<s1>Statistics in information technology</s1>
</fA09>
<fA11 i1="01" i2="1">
<s1>BIN YU</s1>
</fA11>
<fA12 i1="01" i2="1">
<s1>NAIR (Vijay)</s1>
<s9>ed.</s9>
</fA12>
<fA14 i1="01">
<s1>Department of Statistics University of California at Berkeley</s1>
<s2>Berkeley, CA 94720</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</fA14>
<fA15 i1="01">
<s1>Department of Statistics, University of Michigan</s1>
<s2>Ann Arbor, MI 48109</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</fA15>
<fA20>
<s1>237-248</s1>
</fA20>
<fA21>
<s1>2007</s1>
</fA21>
<fA23 i1="01">
<s0>ENG</s0>
</fA23>
<fA43 i1="01">
<s1>INIST</s1>
<s2>9949</s2>
<s5>354000146689260010</s5>
</fA43>
<fA44>
<s0>0000</s0>
<s1>© 2007 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45>
<s0>1 p.1/2</s0>
</fA45>
<fA47 i1="01" i2="1">
<s0>07-0496877</s0>
</fA47>
<fA60>
<s1>P</s1>
</fA60>
<fA61>
<s0>A</s0>
</fA61>
<fA64 i1="01" i2="1">
<s0>Technometrics</s0>
</fA64>
<fA66 i1="01">
<s0>USA</s0>
</fA66>
<fC01 i1="01" l="ENG">
<s0>This article examines the role of statistics in the age of information technology (IT). It begins by examining the current state of IT and of the cyberinfrastructure initiative aimed at integrating the technologies into science, engineering, and education to convert massive amounts of data into useful information. Selected applications from science and text processing are introduced to provide concrete examples of massive data sets and the statistical challenges that they pose. The thriving field of machine learning is reviewed as an example of current achievements driven by computations and IT. Ongoing challenges that we face in the IT revolution are also highlighted. The paper concludes that for the healthy future of our field, computer technologies have to be integrated into statistics, and statistical thinking in turn must be integrated into computer technologies.</s0>
</fC01>
<fC02 i1="01" i2="X">
<s0>001D02B07D</s0>
</fC02>
<fC02 i1="02" i2="X">
<s0>001D02C</s0>
</fC02>
<fC02 i1="03" i2="X">
<s0>001D02B07B</s0>
</fC02>
<fC02 i1="04" i2="X">
<s0>001A02H02</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE">
<s0>Technologie information</s0>
<s5>06</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG">
<s0>Information technology</s0>
<s5>06</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA">
<s0>Tecnología información</s0>
<s5>06</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE">
<s0>Education</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG">
<s0>Education</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA">
<s0>Educación</s0>
<s5>07</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE">
<s0>Enseignement</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG">
<s0>Teaching</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA">
<s0>Enseñanza</s0>
<s5>08</s5>
</fC03>
<fC03 i1="04" i2="3" l="FRE">
<s0>Base donnée très grande</s0>
<s5>09</s5>
</fC03>
<fC03 i1="04" i2="3" l="ENG">
<s0>Very large databases</s0>
<s5>09</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE">
<s0>Information utile</s0>
<s5>10</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG">
<s0>Useful information</s0>
<s5>10</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA">
<s0>Información útil</s0>
<s5>10</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE">
<s0>Texte</s0>
<s5>11</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG">
<s0>Text</s0>
<s5>11</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA">
<s0>Texto</s0>
<s5>11</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE">
<s0>Donnée statistique</s0>
<s5>12</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG">
<s0>Statistical data</s0>
<s5>12</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA">
<s0>Dato estadístico</s0>
<s5>12</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE">
<s0>Intelligence artificielle</s0>
<s5>13</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG">
<s0>Artificial intelligence</s0>
<s5>13</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA">
<s0>Inteligencia artificial</s0>
<s5>13</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE">
<s0>Age</s0>
<s5>18</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG">
<s0>Age</s0>
<s5>18</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA">
<s0>Edad</s0>
<s5>18</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE">
<s0>Analyse statistique</s0>
<s5>23</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG">
<s0>Statistical analysis</s0>
<s5>23</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA">
<s0>Análisis estadístico</s0>
<s5>23</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE">
<s0>Approche probabiliste</s0>
<s5>24</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG">
<s0>Probabilistic approach</s0>
<s5>24</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA">
<s0>Enfoque probabilista</s0>
<s5>24</s5>
</fC03>
<fN21>
<s1>323</s1>
</fN21>
<fN44 i1="01">
<s1>OTO</s1>
</fN44>
<fN82>
<s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/CyberinfraV1/Data/PascalFrancis/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000019 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Curation/biblio.hfd -nk 000019 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    CyberinfraV1
   |flux=    PascalFrancis
   |étape=   Curation
   |type=    RBID
   |clé=     Pascal:07-0496877
   |texte=   Embracing statistical challenges in the information technology age
}}

Wicri

This area was generated with Dilib version V0.6.25.
Data generation: Thu Oct 27 09:30:58 2016. Site generation: Sun Mar 10 23:08:40 2024